BST Practice Question

Duration: 2 min

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Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Aptitude: Number System, Divisibility Rules, HCF LCM, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Mixture and Alligation, Partnership, Age Problems, Time and Work, Pipe and Cistern, Speed Time and Distance, Algebra, Arithmetic, Data Interpretation, Sequence and Series (Series), Logarithm, Powers and Exponents (Surds and Indices), Permutation and Combination, Probability, Speed Mathematics and Basic Mathematics, Trigonometry
  2. Logical Reasoning: Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Syllogisms, Inequality, Data Sufficiency, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Venn Diagram, Logical Sequence Of Words, Calendar, Clock, Cubes & Dices, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Noun, Pronoun, Adjectives, Verb, Adverb, Tenses, Subject Verb Agreement (Verb Noun Agreement), Articles, Preposition, Conjunction, Modals, Determiner, Vocabulary, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  4. Data Structures (Domain Test): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  5. Algorithms (Domain Test): Algorithm Analysis, Sorting Algorithms, Time Complexity Analysis, Greedy Algorithms
  6. OOPs (Domain Test): Object Oriented Programming (OOPS)
  7. DBMS (Domain Test): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  8. SQL (Domain Test): SQL
  9. Operating Systems (Domain Test): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  10. Computer Networks (Domain Test): Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cyber and Info Security
  11. Coding: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  12. Written English Test: English Writing Ability
  13. Psychometric Test: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture addresses a specific scenario in Binary Search Tree (BST) deletion: removing a node that has both left and right children non-empty. The instructor explains that in this case, the inorder successor (or predecessor) must be used to replace the deleted node. He presents a multiple-choice question asking for the true statement regarding the properties of the inorder successor. The options explore whether the successor is always a leaf, has an empty left child, is an ancestor, or has an empty right child. The instructor uses a whiteboard drawing to illustrate the BST structure and the traversal logic required to find the successor.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor begins by stating the problem context: deleting a node with two children. He draws a BST on the whiteboard to illustrate. The tree has a root node 10, a left child 1, and a right child 15. The node 15 has a right child 20, which in turn has a right child 3. He writes the inorder traversal sequence "1 10 15 20 3" to show the order. He explains that the inorder successor of a node is the smallest node in its right subtree. He traces the path to find the successor, emphasizing that one goes to the right child and then keeps moving left until no left child exists. He analyzes the options, noting that the successor is found by going left as much as possible, meaning it cannot have a left child itself. He underlines option (B) and discusses why other options like (C) and (D) are incorrect.

  2. 2:00 – 2:10 02:00-02:10

    The instructor concludes the analysis. He confirms that the inorder successor is always either a leaf node (no children) or a node with an empty left child (but potentially a right child). He explicitly marks option (B) "Inorder successor is always either a leaf node or a node with empty left child" as the correct answer. He reinforces that if the successor had a left child, that child would be smaller and thus the true successor, contradicting the definition. He circles the correct option and summarizes the key takeaway for exam preparation.

The lecture clarifies a key property of BST deletion: the inorder successor of a node with two children is guaranteed to have no left child. This is because the successor is defined as the smallest value in the right subtree, found by traversing left until a leaf or a node with only a right child is reached. This property simplifies the deletion logic, as the successor can be easily removed or spliced into the tree without violating BST properties.

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